Book Image

The Azure Cloud Native Architecture Mapbook

By : Stéphane Eyskens, Ed Price
Book Image

The Azure Cloud Native Architecture Mapbook

By: Stéphane Eyskens, Ed Price

Overview of this book

Azure offers a wide range of services that enable a million ways to architect your solutions. Complete with original maps and expert analysis, this book will help you to explore Azure and choose the best solutions for your unique requirements. Starting with the key aspects of architecture, this book shows you how to map different architectural perspectives and covers a variety of use cases for each architectural discipline. You'll get acquainted with the basic cloud vocabulary and learn which strategic aspects to consider for a successful cloud journey. As you advance through the chapters, you'll understand technical considerations from the perspective of a solutions architect. You'll then explore infrastructure aspects, such as network, disaster recovery, and high availability, and leverage Infrastructure as Code (IaC) through ARM templates, Bicep, and Terraform. The book also guides you through cloud design patterns, distributed architecture, and ecosystem solutions, such as Dapr, from an application architect's perspective. You'll work with both traditional (ETL and OLAP) and modern data practices (big data and advanced analytics) in the cloud and finally get to grips with cloud native security. By the end of this book, you'll have picked up best practices and more rounded knowledge of the different architectural perspectives.
Table of Contents (13 chapters)
Section 1: Solution and Infrastructure
Section 2: Application Development, Data, and Security
Section 3: Summary

Dealing with other data concerns

In this section, we will review some cross-cutting data concerns, no matter whether you make use of traditional or modern data techniques. Figure 6.17 illustrates some transversal needs, whether you are in a traditional, modern, or big data world:

Figure 6.17 – Cross-cutting data concerns

Figure 6.17 – Cross-cutting data concerns

Let's start with search.

Introducing Azure Cognitive Search

Azure ships the Azure Cognitive Search service. It used to simply be named Azure Search, but it got rebranded to the new name because it also now encompasses other AI capabilities brought by the different cognitive services. Azure Cognitive Search is very well integrated with the other Azure services, which means that you can plug any Azure data store (Cosmos DB, Table Storage, Azure SQL, and so on) into it.

The cognitive part enriches the search contents. For example, the NLP engine will detect entities and extract key phrases and sentiment, while the OCR...